Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Group formation in computer-supported collaborative learning
GROUP '01 Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work
SIGUCCS '01 Proceedings of the 29th annual ACM SIGUCCS conference on User services
Modern Information Retrieval
EVA: an interactive web-based collaborative learning environment
Computers & Education - Special section on multimedia in engineering education
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Analyzing the Subjective Interestingness of Association Rules
IEEE Intelligent Systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Automated Personalization of Internet News
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Learner Models for Supporting Awareness and Collaboration in a CSCL Environment
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
An Adaptive, Collaborative Environment to Develop Good Habits in Programming
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Generating an informative cover for association rules
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
Can a CSCL Environment Promote Effective Interaction?
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
User profiling in personal information agents: a survey
The Knowledge Engineering Review
Learner profile management for collaborating adaptive eLearning applications
Proceedings of the joint international workshop on Adaptivity, personalization & the semantic web
Evaluating Bayesian networks' precision for detecting students' learning styles
Computers & Education
Adaptive feedback generation to support teachers in web-based distance education
User Modeling and User-Adapted Interaction
Characterising effective eLearning resources
Computers & Education
Distance learning education using the web
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Coaching Web-based Collaborative Learning based on Problem Solution Differences and Participation
International Journal of Artificial Intelligence in Education
Adaptive bayes for a student modeling prediction task based on learning styles
UM'03 Proceedings of the 9th international conference on User modeling
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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Collaborative learning environments provide a set of tools for students acting in groups to interact and accomplish an assigned task. In this kind of systems, students are free to express and communicate with each other, which usually lead to collaboration and communication problems that may require the intervention of a teacher. In this article, we introduce an intelligent agent approach to assist teachers through monitoring participations made by students within a collaborative distance learning environment, detecting conflictive situations in which a teacher's intervention may be necessary. High precision rates achieved on conflict detection scenarios suggest great potential for the application of the proposed rule-based approach for providing personalized assistance to teachers during the development of group works.